Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kirby Linvill
dblp:281/5374
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0001-8835-3377ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
2 papers |
Systems and software security · 57% Network security · 43% | |
| Software engineering, system software, and programming languages
2 papers |
Program analysis · 57% Program verification · 43% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security
exploitation |
0.9 | 1 | 2025 | Lancet: A Formalization Framework for Crash and Exploit Pathology · USENIX Security Symposium 2025 |
Program analysis
dynamic analysis |
0.3 | 1 | 2025 | Lancet: A Formalization Framework for Crash and Exploit Pathology · USENIX Security Symposium 2025 |
Program verification
probabilistic reasoning |
0.2 | 1 | 2023 | Verifying Indistinguishability of Privacy-Preserving Protocols · Proc. ACM Program. Lang. 2023 |
Methods — techniques the papers use, named apart from their topics
synchronous modeling · 2.0probabilistic reasoning · 2.0formal verification · 2.0formalization · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Lancet: A Formalization Framework for Crash and Exploit Pathology
Qinrun Dai, Kirby Linvill, Yueqi Chen 0001, Gowtham Kaki |
USENIX Security Symposium | 2 |
| 2023 | Verifying Indistinguishability of Privacy-Preserving ProtocolsabstractInternet users rely on the protocols they use to protect their private information including their identity and the websites they visit. Formal verification of these protocols can detect subtle bugs that compromise these protections at design time, but is a challenging task as it involves probabilistic reasoning about random sampling, cryptographic primitives, and concurrent execution. Existing approaches either reason about symbolic models of the protocols that sacrifice precision for automation, or reason about more precise computational models that are harder to automate and require cryptographic expertise. In this paper we propose a novel approach to verifying privacy-preserving protocols that is more precise than symbolic models yet more accessible than computational models. Our approach permits direct-style proofs of privacy, as opposed to indirect game-based proofs in computational models, by formalizing privacy as indistinguishability of possible network traces induced by a protocol. We ease automation by leveraging insights from the distributed systems verification community to create sound synchronous models of concurrent protocols. Our verification framework is implemented in F* as a library we call Waldo. We describe two large case studies of using Waldo to verify indistinguishability; one on the Encrypted Client Hello (ECH) extension of the TLS protocol and another on a Private Information Retrieval (PIR) protocol. We uncover subtle flaws in the TLS ECH specification that were missed by other models. Kirby Linvill, Gowtham Kaki, Eric Wustrow |
Proc. ACM Program. Lang. | 1 |